Aspiring data scientist with over 7 years of experience in Analytics and Data Science with a degree in Statistics, expertise in statistics, machine learning algorithms, analytics, and python programming.
Predicting the potential effects of weather condition on crops using statistical models and predictive models.
Measuring how the crop responds to weather variables.
Collecting, organizing, and analyzing data using Python.
Performing data extraction, data cleansing, and data manipulation.
Building the final story for the business with analysis and conclusion using Python and Power BI.
Getting descriptive statistics.
Performing correlations.
Creating histograms, box plots, and scatter plots.
Implementing machine learning models.
Understanding how much each marketing input contributes to sales.
Determining how much to spend on each marketing input.
Examining the data by analyzing correlation between variables, labels and features, scatter graph between response and features, and data distribution plot.
Building algorithms to get a clearer picture.
Performing hypothesis testing.
Evaluating model performance using Linear Regression model in Python.
Data Validation, data extraction, manipulation, Statistical Analysis, Data Preprocessing, Report writing etc
Mathematical/Statistical skills to help collect, organize, and analyze data using Python
Data extraction, data cleansing, data manipulation, building the final story for the business
with analysis and conclusion with Python and Power BI for create a insights.
Project - Crop loss assessment
Predicting the potential effects of weather condition on crops, we are using the statistical models.
Identifying the ideal price for the product.
Considering costs in making the product, competitors' prices, target consumers, and what they can afford.
Analyzing the prices target consumers are willing to pay using Advance Excel and Python.
Providing comparative information for rate negotiations internally.
Using Price Sensitivity.
Generating ad-hoc reports.
Delivering actionable insights.
Performing detailed rainfall data analysis to identify trends and insights for business evaluation using Power BI and Advance Excel.
Creating, enhancing, and managing interactive dashboards and reports for data-driven decision.
Identifying and resolving data discrepancies.
Collaborating with teams to enhance quality.
Implementing data validation and cleansing procedure for reliable and precise data.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
